| Interface | Description |
|---|---|
| DataIndexer |
Object which compresses events in memory and performs feature selection.
|
| DataReader | |
| MaxentModel |
Interface for maximum entropy models.
|
| Prior |
This interface allows one to implement a prior distribution for use in
maximum entropy model training.
|
| SequenceClassificationModel<T> |
A classification model that can label an input sequence.
|
| SequenceStream |
Interface for streams of sequences used to train sequence models.
|
| Class | Description |
|---|---|
| AbstractDataIndexer |
Abstract class for collecting event and context counts used in training.
|
| AbstractModel | |
| AbstractModelReader | |
| AbstractModelWriter | |
| BinaryFileDataReader | |
| ComparableEvent |
A maxent event representation which we can use to sort based on the
predicates indexes contained in the events.
|
| ComparablePredicate |
A maxent predicate representation which we can use to sort based on the
outcomes.
|
| Context |
Class which associates a real valued parameter or expected value with a particular contextual
predicate or feature.
|
| DynamicEvalParameters | |
| EvalParameters |
This class encapsulates the varibales used in producing probabilities from a model
and facilitaes passing these variables to the eval method.
|
| Event |
The context of a decision point during training.
|
| FileEventStream |
Class for using a file of events as an event stream.
|
| GenericModelReader | |
| GenericModelWriter | |
| HashSumEventStream | |
| IndexHashTable<T> |
The
IndexHashTable is a hash table which maps entries
of an array to their index in the array. |
| MutableContext |
Class used to store parameters or expected values associated with this context which
can be updated or assigned.
|
| ObjectDataReader | |
| OnePassDataIndexer |
An indexer for maxent model data which handles cutoffs for uncommon
contextual predicates and provides a unique integer index for each of the
predicates.
|
| OnePassRealValueDataIndexer |
An indexer for maxent model data which handles cutoffs for uncommon
contextual predicates and provides a unique integer index for each of the
predicates and maintains event values.
|
| PlainTextFileDataReader | |
| RealValueFileEventStream | |
| Sequence<T> |
Class which models a sequence.
|
| SequenceStreamEventStream |
Class which turns a sequence stream into an event stream.
|
| TrainUtil | |
| TwoPassDataIndexer |
Collecting event and context counts by making two passes over the events.
|
| UniformPrior |
Provide a maximum entropy model with a uniform prior.
|
| Enum | Description |
|---|---|
| AbstractModel.ModelType |
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